release_agent_task

Release a task lock after completing work. Updates status and optionally records a progress note for the next agent session. Part of the parallel agent coordination pattern.

SERVERNodebench SOURCEnodebench-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-homenshum-nodebench/release-agent-task.md

WHAT IT DOES

What release_agent_task does on Nodebench

AI agents use release_agent_task to create or update resources in Nodebench, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Nodebench environment.

RISK

Why release_agent_task is rated Medium

This tool modifies task state by releasing a lock and updating status, which is a reversible write operation. It does not delete data, execute code, or involve financial transactions. Misuse could disrupt multi-agent coordination workflows by prematurely releasing locks or corrupting task state, warranting medium severity.

From the tool's definition Release a task lock after completing work. Updates status and optionally records a progress note

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs release_agent_task safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Nodebench, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For release_agent_task, this is the rule to start with:

release_agent_task Rate-limited

release_agent_task stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "release_agent_task": {
      "limits": [
        {
          "counter": "release_agent_task_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Nodebench, apply this rule, and every release_agent_task call is checked against it from then on.

FAQ

Questions about release_agent_task

What does the release_agent_task tool do? +

Release a task lock after completing work. Updates status and optionally records a progress note for the next agent session. Part of the parallel agent coordination pattern. It is categorised as a Write tool in the Nodebench MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on release_agent_task? +

Register the Nodebench MCP server in PolicyLayer and add a rule for release_agent_task: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Nodebench. Nothing to install.

What risk level is release_agent_task? +

release_agent_task is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit release_agent_task? +

Yes. Add a rate_limit block to the release_agent_task rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block release_agent_task completely? +

Set action: deny in the PolicyLayer policy for release_agent_task. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides release_agent_task? +

release_agent_task is provided by the Nodebench MCP server (nodebench-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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